This article is licensed under a Creative Commons Attribution 4.0 license (http://creativecommons.org/licenses/by/4.0/).© 2021 American Meteorological Society.Corresponding author: Silke Trömel, [email protected]

To improve precipitation estimation accuracy, new methods, which are able to merge different measurement modalities, necessary. In this study, we propose a deep learning method rain gauge measurements with ground-based radar composite and thermal infrared satellite imagery. The proposed convolutional neural network, composed of an encoder–decoder architecture, performs multiscale analysis the t...

Quantitative precipitation estimation and rainfall monitoring based on meteorological data, potentially provides continuous, high-resolution and large-coverage data, are of high practical use: Think of hydrogeological risk management, hydroelectric power, road and tourism. Both conventional long-range radars and rain-gauges suffer from measurement errors and difficulties in precipitation estima...